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Found 91 Skills
Text-to-speech models, voices, formats, and streaming via Venice.ai. Useful for narration, voiceover, and conversational agent voices.
Index directory for automatically learned skills from execution feedback
Draft Resonance Diagnosis. You've finished a piece of content but feel unsure—worried it won't get traffic, fail to resonate with the audience, or have a low completion rate. Submit your draft to this skill, and it will use a communication psychology framework to diagnose whether it resonates, identify problems, and provide specific revision suggestions. Triggers: /dbs-resonate, "Does this draft resonate with people?", "Help me check if I can post this", "Will the completion rate be low?", "Will this draft get traffic when posted" Draft resonance diagnosis. You finished a draft but aren't sure it will connect. Diagnoses psychological resonance issues and gives specific fixes. Trigger: /dbs-resonate, "will this resonate", "check my draft", "will people watch this"
This skill should be used when the user asks to "refine a prompt", "optimize a prompt", "improve my prompt", "rewrite prompt for LLM", "craft a better prompt", or mentions prompt engineering, prompt optimization, or appending to PROMPT.md.
Create effective AI skills. This skill should be used when user wants to create a new skill (or update an existing skill) that extends an AI with specialized capabilities, knowledge, workflows, or tool integrations.
Langgeladi Cognition Check. Two modes: Trace (an idea → trace to the bottom layer → build a system) and Topple (a wrong cognition → flip → see the truth). Trigger methods: /lang-think, "I have an idea", "I think XX is because of YY", "help me figure this out", "is this view correct" Langgeladi cognition check. Two modes: Trace (idea → first principles → system) and Topple (wrong belief → flip → truth). Trigger: /lang-think, "I have an idea", "help me think this through", "is this right"
Install and use the 毛选.skill cognitive framework for Claude Code — applies Mao Zedong's strategic mental models (contradiction analysis, protracted war, rural encirclement, united front) to help analyze problems, devise strategies, and cut through complexity.
· Batch-improve skill collections with evaluation loops, lint checks, behavioral tests, peer review. Triggers: 'skill refiner', 'improve skills', 'quality sweep', 'batch improve', 'skill loop'. Not for one skill.
Domain expertise for Ai2 Asta MCP tools (Semantic Scholar corpus). Intent-to-tool routing, safe defaults, workflow patterns, and pitfall warnings for academic paper search, citation traversal, and author discovery.
Use this skill when the user explicitly asks to create, write, improve, or optimize a prompt for use with an AI. Trigger on phrases like "write me a prompt", "improve this prompt", "create a system prompt", "how do I ask ChatGPT/Claude to...", or "quero um prompt para...". Do NOT trigger for direct task requests where the user wants the output, not the prompt.
Sets up an `## Agent skills` block in AGENTS.md/CLAUDE.md and `docs/agents/` so the engineering skills know this repo's issue tracker (GitHub or local markdown), triage label vocabulary, and domain doc layout. Run before first use of `to-issues`, `to-prd`, `triage`, `diagnose`, `tdd`, `improve-codebase-architecture`, or `zoom-out` — or if those skills appear to be missing context about the issue tracker, triage labels, or domain docs.
EXPERIMENTAL: Three-layer parallel meta-cognition analysis. Triggers on: /meta-parallel, 三层分析, parallel analysis, 并行元认知